OR Technologies Sdn Bhd

05/06/2026

If your analytics engineering approach is working today but breaks under new data volume, new teams, or new regulatory demands, it’s not “scaling”, it’s just coping.

This article lays out best practices that help build reliable, governed, and reusable analytics assets, so your operating model stays fast, auditable, and AI-ready as the enterprise grows. It’s the kind of engineering discipline that reduces rework, tightens governance, and improves decision reliability across domains.

Worth reading if you need analytics that can stand up to scale, scrutiny, and real operational pressure.

https://ortech.com.my/insights/analytics-engineering-best-practices-that-scale/

05/06/2026

Everyone wants AI in Finance.
But most finance data still lives in:
❌ spreadsheets
❌ disconnected systems
❌ manual reconciliation processes
That’s why AI projects fail.

Visit 𝗢𝗥𝗧𝗘𝗖𝗛 & 𝗔𝗹𝘁𝗲𝗿𝘆𝘅 𝗮𝘁 𝗕𝗼𝗼𝘁𝗵 𝗕𝟭𝟱 𝗱𝘂𝗿𝗶𝗻𝗴 𝗠𝗜𝗔 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝟮𝟬𝟮𝟲 and see how leading organizations are building:
✅ AI-Ready Finance Data
✅ Automated Reconciliation
✅ Faster Financial Close
✅ Audit Analytics
✅ Executive Decision Intelligence
📉 50–70% faster financial close
📉 60–80% less manual reconciliation
📈 90% better audit readiness

If you’re a 𝗖𝗙𝗢, 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿, 𝗖𝗜𝗢, 𝗼𝗿 𝗔𝘂𝗱𝗶𝘁 𝗟𝗲𝗮𝗱𝗲𝗿 — this booth is for you.
📍 Booth B15
📍 MIA Conference 2026
📍 Kuala Lumpur Convention Centre

AI-ready finance starts with trusted data - https://cstu.io/efea70

Discover how ORTECH and Alteryx are transforming finance operations with AI-ready finance automation, governed data, reconciliation automation, and executive analytics at MIA Conference 2026.

05/06/2026

In today’s AI and data economy, the real risk is not disruption ➡️ it is 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝘁𝗼 𝗹𝗲𝗮𝗱.
At 𝗢𝗥𝗧𝗘𝗖𝗛, we embrace 𝘱𝘰𝘴𝘪𝘵𝘪𝘷𝘦 𝘍𝘖𝘔𝘖: continuously exploring new ways to turn 𝗔𝗜-𝗥𝗲𝗮𝗱𝘆 𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗦𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 into real enterprise impact.

Because in this era, those who move early don’t just follow the future 🚀 𝘁𝗵𝗲𝘆 𝘀𝗵𝗮𝗽𝗲 𝗶𝘁.

04/06/2026

If you’re modernizing data and analytics, “Analytics Engineering vs Data Engineering” isn’t a naming debate, it’s a blueprint for how work moves from raw systems to governed decisions.

This piece breaks down where each discipline creates value, how responsibilities should be organized, and what governance, scalability, and operational metrics look like in practice for regulated environments.

The result: clearer accountability, faster delivery of trustworthy analytics, and fewer handoffs that stall decision intelligence. For leaders accountable to risk and outcomes, it’s a practical guide to setting the right operating model.

https://ortech.com.my/insights/analytics-engineering-vs-data-engineering/

03/06/2026

If your organization is serious about analytics automation, the platform has to do more than orchestrate jobs—it must reliably govern data, standardize metrics, and turn events into decisions with audit-ready lineage. The best platforms bring an engineering mindset to orchestration, scalability, and operational controls, so automation doesn’t create new risk while you scale.

This article breaks down what to demand from an analytics automation platform so you get measurable outcomes like faster reporting cycles, cleaner decision workflows, and stronger compliance readiness.

https://ortech.com.my/?p=3171

03/06/2026

Analytics Engineering is where analytics platforms stop being “data projects” and start becoming dependable decision systems. In the article, ORTECH breaks down what Analytics Engineering actually is, how it fits into modern data and governance, and why it improves scalability, auditability, and time-to-trust for regulated organizations. If you’re leading AI-ready data and analytics modernization, this is the practical framework for turning requirements into measurable outcomes. Worth reading for anyone who needs clarity on the operating model—not just more tooling.

https://ortech.com.my/?p=3168

02/06/2026

🚀 At 𝗢𝗥𝗧𝗘𝗖𝗛, we're always exploring technologies that make analytics engineering more efficient and scalable, and Apache 𝗜𝗰𝗲𝗯𝗲𝗿𝗴 is one of those game-changers.

Why we’re excited about it at ORTECH:
🧊 Versioned table snapshots (yes, time travel for your data!)
🧊 Reliable concurrent reads/writes, no more corrupted queries
🧊 Handles schema & partition changes without breaking pipelines
🧊 Perfect fit for the lakehouse architectures we design

Iceberg brings Git-like control to your data tables, and that’s a big deal for any serious data platform.
Curious to see how we can help modernize your data infrastructure? Let’s talk.



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29/05/2026

💡 Are auditors still relying on sampling?

In an era where every transaction can be analyzed, why settle for partial insight?
Alteryx ACE and training specialist Michael Keiffer shares powerful insights on how data analytics is redefining internal audit, moving beyond traditional sampling toward full-population testing, automation, and smarter insights.

Discover how tools like Alteryx are transforming audit workflows, cutting hours of manual work, reducing risk, and giving auditors time to focus on what truly matters: strategic assurance and value creation.

🎧 Listen to podcast: https://youtu.be/BA0Nx1E2Jq0?si=c0_etHXgC6cJWnO_

At , we help organizations accelerate this transformation, empowering audit, finance, and compliance teams with modern analytics and automation.

27/05/2026

🚀 Unlock fast, open access to your data with Dremio — a tool that quickly becomes essential once you start using it!
There’s been plenty of exciting news lately, and here’s another highlight.
Fresh results from the TPC-DS benchmark confirm that Dremio ranks among the top-performing data lakehouse solutions available today.

Why does this matter? Because it shows organizations they can:
👉 Adopt an open data lakehouse platform and avoid vendor lock-in, giving them greater control over their data destiny
👉 Deploy a solution that achieves high performance while requiring fewer resources — both hardware and personnel
👉 Keep budgets in check with a data lakehouse that delivers exceptional value

⚡ 20x performance boost ⚡
In the benchmark, Dremio completed all 99 TPC-DS queries on a 1TB dataset in just 22 seconds using an 8-node cluster — outperforming major cloud data lakehouse providers by a factor of 20.

🎯 Speed without duplication
This level of performance is delivered directly on your data lake storage (such as S3 or ADLS), eliminating the need for complex pipelines or costly data replication just to achieve data warehouse-like speed.

🔧 Built on powerful innovations
Dremio stands out thanks to:
👍 Automated query acceleration with its Reflections technology
👍 A high-efficiency query engine built on Apache Arrow for vectorized processing
👍 Multi-tier caching (Columnar Cloud Cache) that enables lightning-fast query responses

The bottom line: Dremio simplifies your data architecture, accelerates time to insight, and lowers total cost of ownership — all without compromising performance.

💬 Chat with us to learn more about Dremio in Malaysia!

Original post by: Charly Clairmont

27/05/2026

𝗦𝗲𝗹𝗮𝗺𝗮𝘁 𝗛𝗮𝗿𝗶 𝗥𝗮𝘆𝗮 𝗔𝗶𝗱𝗶𝗹𝗮𝗱𝗵𝗮 🌙✨

Hari Raya Aidiladha mengingatkan kita kepada kisah penuh keimanan dan pengorbanan Nabi Ibrahim A.S serta ketaatan Nabi Ismail A.S dalam memenuhi perintah Allah SWT. Dari peristiwa inilah lahirnya makna sebenar keikhlasan, kesabaran, dan pengorbanan dalam kehidupan.

Semoga setiap pengorbanan yang dilakukan, sekecil mana sekalipun, diterima dan dipermudahkan oleh-Nya.

Yang tulus ikhlas,
OR Technologies Sdn Bhd